Knowledge graph construction method based on disaster scene

Abstract

The invention relates to the technical field of disaster emergency processing, in particular to a knowledge graph construction method based on a disaster scene, which comprises the following steps: constructing a ontology meta-language model of a knowledge graph in a mode layer of a knowledge graph database; acquiring data information of the disaster scene from one or more disaster data sources; performing knowledge fusion on the acquired data information, and eliminating contradiction and ambiguity between the data; conducting knowledge reasoning on the data information obtained after knowledge fusion; and storing the data information after knowledge reasoning into a data layer of a knowledge map database corresponding to the ontology meta-language model. According to the knowledge graphconstruction method based on the disaster scene, from the perspective of machine cognition, the knowledge graph is combined with disaster scene situation awareness and understanding, connotation and semantics of multi-source heterogeneous information are studied, a disaster scene information fusion method is designed, and support can be provided for engineering application.

Description

technical field [0001] The present invention relates to the technical field of disaster emergency treatment, in particular to a method for constructing a knowledge map based on a disaster scene. Background technique [0002] With the outbreak of major disasters such as the Wenchuan Earthquake, the Southern Snowstorm, and the "7.21" torrential rain in Beijing, people have deeply realized the serious impact of disasters on the economy, society, environment, production and life. In order to avoid or reduce the losses caused by disasters, the academic circle has carried out many meaningful researches on the internal laws of disasters, evolution mechanism and emergency management strategies. In addition, with the rapid development of information technology in recent years, especially the emergence of new technologies such as artificial intelligence, big data, cloud computing, Internet of Things, and geographic information, it provides ideas for solving situational awareness in di...

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Problems solved by technology

[0004] Perhaps, the above-mentioned methods are mostly implemented based on specific physical models, and have the defect of relying on the decision-making ability of the decision-making subject. With the emergence of massive data in complex disaster chains, these methods are difficult to maximize the value of the data, and it is urgent to establish a new method for situational understanding

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